Audio-Text-to-Text
Transformers
Safetensors
vibevoice_asr
automatic-speech-recognition
ASR
Diarization
Speech-to-Text
Transcription
torchao
Instructions to use Matir/VibeVoice-ASR-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matir/VibeVoice-ASR-HF with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Matir/VibeVoice-ASR-HF") model = AutoModelForMultimodalLM.from_pretrained("Matir/VibeVoice-ASR-HF") - Notebooks
- Google Colab
- Kaggle
| FROM pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime | |
| # has python3.11 | |
| # Install system dependencies | |
| RUN apt-get update && apt-get install -y \ | |
| ffmpeg \ | |
| libsndfile1 \ | |
| g++ \ | |
| && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| # Copy requirements and install | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Install Flash Attention 2 using pre-built wheels (requires torch to be installed first) | |
| RUN pip install packaging | |
| #RUN pip install flash-attn --no-build-isolation --no-cache-dir | |
| RUN pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiTRUE-cp311-cp311-linux_x86_64.whl | |
| # Copy application code | |
| COPY main.py . | |
| # Expose port 8080 | |
| EXPOSE 8080 | |
| ENV PYTHONUNBUFFERED=1 | |
| # Start uvicorn | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080", "--log-level", "debug"] | |